Pharmaceutical Manufacturing

Falkonry enables AI-driven plant performance reliability to achieve smarter Pharma operations

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Pharmaceutical companies face increasing challenges in production flexibility, time-to-market and operational costs. In order to remain competitive, manufacturers must adopt digital technologies - analytics, automation and process digitization - to capture significant, scalable efficiency gains.

Falkonry enables Pharmaceutical companies to improve their output and quality through AI-powered smart visibility and actionable insights. It can be used directly by your process, equipment and maintenance teams to increase asset availability, product quality and yield.

Challenge

Reduced unplanned downtime

Challenge

Improved plant-wide reliability

Challenge

Enhanced production efficiency

Challenge

Consistency in product quality

Smaller wins in-the-now

Our experience from working with dozens of customers across hundreds of use cases is that an “intelligence-first” approach works best. That is: working with data as it is generated to discover and then monitor problems that are affecting today’s production. By working in-the-now, SMEs’ interests are aligned with the interests of the project so that findings are quickly validated and applied. Intelligence-first overcomes the barriers that a data-first approach cannot breach.

Use Case
Use Case

Predictive Maintenance

Use Case

Predictive Maintenance

  • Problem

    Autoclaves sometimes require early maintenance. Current methods do not provide enough warning.

  • Solution

    Use existing operational data to discover patterns which precede autoclave failure indicating need for maintenance

  • Benefits

    Avoid overtime and the cost of repeated cycles. Control capital costs associated with over provisioning capacity.

Use Case
Use Case

Predictive Quality

Use Case

Predictive Quality

  • Problem

    Rubber vulcanization process is difficult to control using available methods

  • Solution

    Turnkey solution discovers novel patterns in and analyzes root causes from operational data which precede process excursions

  • Benefits

    Make process adjustments to avoid quality loss from plugging events

Use Case
Use Case

Production Continuity

Use Case

Production Continuity

  • Problem

    Chillers can fail unexpectedly. Current practices do not provide enough warning

  • Solution

    Discover, record and maintain patterns in operational data which indicate impairment or impending failure of the chiller system

  • Benefits

    Avoid unscheduled downtime through proactive chiller repair. Provision backup chiller capacity to minimize impact to production.

Case Study

Case study

Learn how a pharmaceutical company used Falkonry’s Time Series AI to identify abnormal processing patterns and avoid costly losses from misprocessing.

Hear from our Customers

Vaibhav Kshirsagar Technical Product Manager | IMA Life
Freeze drying is a complex and high value process, with each batch being valued in millions of dollars and it is important to monitor the process as well as the equipment.
Falkonry's Operational AI is powering IMA Life’s SENTINEL-LYO platform for freeze drying data analysis, system health monitoring and predictive analytics.
Tune in to hear more from IMA Life on how this delivers quick business value for their customers while being easy to use by their operations teams.

A bit about IMA Life : IMA Life is the ideal partner for aseptic processing lines. The product range includes blowers, washers, depyrogenating tunnels, liquid and powder fillers, freeze dryers, automatic loaders/unloaders, labellers, isolation systems.

Take the next step

Implementing Smart with Falkonry is easy. Connect with one of our experts for a live demo.